• DocumentCode
    596549
  • Title

    A new gray value retention histogram equalization

  • Author

    Bin Ge ; Ningning Zhou

  • Author_Institution
    Software Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2012
  • fDate
    18-20 Oct. 2012
  • Firstpage
    105
  • Lastpage
    107
  • Abstract
    In the field of image processing histogram equalization is a method to enhance images by adjusting the image contrast. The idea is to change the original image histogram from the more concentrated gray-scale range into all the uniform distribution. There is a shortcoming that gray-scale merging in traditional histogram equalization image enhancement. A gray-scale retention histogram equalization can reduce the adverse effects of the gray-scale mergering and retain more image details. This method has been improved in this paper, we use Measure of Medium Truth Degree to determine which is better, the method retains high gray-level or the one retains the low gray-level.
  • Keywords
    image colour analysis; image enhancement; concentrated gray-scale range; gray-scale mergering; gray-scale merging; gray-scale retention histogram equalization; histogram equalization image enhancement; image contrast; image details; image processing histogram equalization; medium truth degree measure; new gray value retention histogram equalization; uniform distribution; Adaptive equalizers; Brightness; Gray-scale; Helium; Histograms; Image enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-1743-6
  • Type

    conf

  • DOI
    10.1109/ICACI.2012.6463130
  • Filename
    6463130